The book Mathematical Programming for Process Optimization, authored by Prof. Jorge A. W. Gut from Polytechnic School of USP was released by Edusp in June 2021!
https://sites.usp.br/otimizacao/
Mathematical programming is a powerful tool for decision making and process optimization. It is based on the mathematical representation of a system through the use of continuous and discrete variables and the subsequent search for the optimal solution in a space of alternatives, aiming at a more efficient and viable system, with lower cost.
This work introduces undergraduate and graduate engineering students, using clear and direct language, to the fundamentals and techniques of optimization through mathematical programming. The theory is exposed in a didactic way, through numerical examples instead of formal mathematical deductions, facilitating the understanding of the bases that guide the optimization algorithms.
The book progresses gradually, starting with basic concepts of calculus and linear algebra, and moving on to linear (LP), nonlinear (NLP), and mixed integer programming (MILP and MINLP). It id intended to enable the reader to formulate optimization models with continuous and binary variables, solve them manually or through commercial programs and interpret the results.
Problems involving, for example, production scheduling or optimal process design are solved and illustrated step by step, including the use of Gams, with emphasis on practical aspects. The reader can choose which programs to adopt, which contributes to the scope and versatility of the work.
ISBN 13: 9786557850336
Weight: 0,679 kg
Year: 2021
Pages: 408
Format: Brochure 16 x 23 cm
Collection: Academic